Problem Solver. Distributed Application developer with Spring Stack.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
machine-learning-project-series
February 4, 2020 – February 18, 2020
This repository contains #Maching-Learning projects which covers all necessary techniques required for developing a clean & efficient data science project
View Projectscala-spark-practice
March 23, 2019 – April 1, 2019
scala-spark-practice — GitHub repository
View Projectpolyglot-spring-cloud
January 19, 2019 – January 20, 2019
This repository attempts to cover concept of Ployglot persistence using various database like Mysql, Cassandra, MongoDB. it also contain sample integration with RabbitMQ message broker
View Projectjava-11-features
January 17, 2019 – January 17, 2019
This repository contains code for Java 9, Java 11 features overview
View Projectspring-reactive-security
January 1, 2019 – January 1, 2019
POC for reactive spring boot with webfluw + security + jwt
View Projectspring-angular-jwt
May 19, 2018 – May 19, 2018
This repository contains POC for integration of Spring Oauth with Angular 5
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-learning and exploration across various technologies, including backend development (Java, Spring), frontend (Angular, Bootstrap), and data-related tools (Scala, Spark, Jupyter Notebook). This breadth suggests a curious and proactive individual. The 'machine-learning-project-series' project directly aligns with the 'Data Scientist' target role, indicating a focused interest. However, the majority of projects are Java/Spring focused, which might indicate a primary background in backend development rather than pure data science. The diversity of personal projects suggests a self-starter who is comfortable with independent work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.